Network source identification via audio signals

ABSTRACT

Network source identification via audio signals is provided. A system receives data packets with an input audio signal from a client device. The system identifies a request. The system selects a digital component provided by a digital component provider device. The system identifies audio chimes stored in memory of the client device. The system matches, based on a policy, an identifier of the digital component provider device to a first audio chime stored in the memory of the client device. The system determines, based on a characteristic of the first audio chime, a configuration to combine the digital component with the first audio chime. The system generates an action data structure with the digital component, an indication of the first audio chime, and the configuration. The system transmits the action data structure to the client device to cause the client device to generate an output audio signal.

CROSS-REFERENCES TO RELATED APPLICATIONS

This application is a U.S. National Stage under 35 U.S.C. § 371 ofInternational Patent Application No. PCT/US2018/056841, filed Oct. 22,2018 and designating the United States, which is hereby incorporated byreference herein in its entirety.

BACKGROUND

A server can receive a request for information. The server can route therequest for information to numerous databases or servers in order toobtain the requested information.

SUMMARY

The present technical solution is generally directed to network sourceidentification via audio signals. For example, a data processing systemin a voice-based computing environment can receive a request or searchquery. The data processing system can access various sources ordatabases to generate a response to the request. However, in thevoice-based computing environment, it can be challenging to identify thesource in an efficient manner. Thus, systems and methods of the presenttechnical solution can improve the efficiency and effectiveness ofinformation transmission and network source identification over one ormore interfaces or one or more types of computer networks. For example,voice-based computing systems may have access to limited types ofinterfaces, or there may a limited number of available interfaces at agiven time. It may be challenging for a system to efficiently transmitinformation to identify a source of the information in such avoice-based computing environment.

At least one aspect of the present technical solution is directed to asystem to mix audio signals. The system can include a data processingsystem having one or more processors and memory. The data processingsystem can include a natural language processor component, a digitalcomponent selector component, and a synthesizer component. The dataprocessing system can receive, via an interface of the data processingsystem and a network, data packets comprising an input audio signaldetected by a sensor of a client device. The data processing system canparse the input audio signal to identify a request. The digitalcomponent selector component can receive the request identified by thenatural language processor. The digital component selector component canselect, responsive to the request, a digital component provided by adigital component provider device. The digital component provider devicecan have an identifier. The synthesizer component can identify aplurality of audio chimes stored in memory of the client device. Thesynthesizer component can match, based on a policy, the identifier ofthe digital component provider device to a first audio chime of theplurality of audio chimes stored in the memory of the client device. Thesynthesizer component can determine, based on a characteristic of thefirst audio chime, a configuration to combine the digital component withthe first audio chime. The synthesizer component can generate an actiondata structure. The action data structure can include the digitalcomponent, an indication of the first audio chime, and theconfiguration. The synthesizer component can transmit, via the network,the action data structure to the client device to cause the clientdevice to generate an output audio signal based on the action datastructure. The output audio signal can include the digital componentreceived via the digital component provider device and the first audiochime retrieved from the memory of the client device.

At least one aspect of the present technical solution is directed to amethod of mixing audio signals. The method can be performed by a dataprocessing system having one or more processors and memory. The methodcan include an interface of the data processing system receiving, via anetwork, data packets comprising an input audio signal detected by asensor of a client device. The method can include the data processingsystem parsing the input audio signal to identify a request. The methodcan include the data processing system selecting, responsive to therequest, a digital component provided by a digital component providerdevice. The digital component provider device can have an identifier.The method can include the data processing system identifying aplurality of audio chimes stored in memory of the client device. Themethod can include the data processing system matching, based on apolicy, the identifier of the digital component provider device to afirst audio chime of the plurality of audio chimes stored in the memoryof the client device. The method can include the data processing systemdetermining, based on a characteristic of the first audio chime, aconfiguration to combine the digital component with the first audiochime. The method can include the data processing system generating anaction data structure comprising the digital component, an indication ofthe first audio chime, and the configuration. The method can include thedata processing system transmitting, via the network, the action datastructure to the client device to cause the client device to generate anoutput audio signal based on the action data structure. The output audiosignal can include the digital component received via the digitalcomponent provider device and the first audio chime retrieved from thememory of the client device.

Aspects may include one or more of the following features. Identifying,prior to receipt of the input audio signal detected by the sensor of theclient device, one or more audio chimes of the plurality of audiochimes; and transmitting the one or more audio chimes of the pluralityof audio chimes to the client device for storage in the memory of theclient device. Requesting, prior to receipt of the input audio signaldetected by the sensor of the client device, a list of audio chimesstored in memory of the client device; and receiving, responsive to therequest, the list of chimes comprising an identification of theplurality of audio chimes stored in memory of the client device.Determining, based on a plurality of historical requests received fromthe client device, a plurality of digital component provider devicesassociated with digital components responsive to the plurality ofhistorical requests; identifying a second plurality of chimescorresponding to the plurality of digital component provider devices;and transmitting the second plurality of chimes to the client device forstorage in the memory. Receiving, from the digital component providerdevice, a request to register audio chimes; approving, based on a dataquality score of the digital component provider device, the request toregister audio chimes for the digital component provider device;receiving, from the digital component provider device, the first chime;and transmitting, prior to receipt of the input audio signal detected bythe sensor of the client device, the first audio chime to the clientdevice for storage in the memory of the client device. Parsing aplurality of websites associated with digital component providerdevices; identifying, from the plurality of websites, a second pluralityof audio chimes; filtering, based on a memory reduction policy, thesecond plurality of audio chimes to remove one or more audio chimes fromthe second plurality of audio chimes to establish the plurality of audiochimes; and transmitting, to the client device, the plurality of audiochimes for storage in the memory of the client device. Accessing awebsite associated with the digital component provider device;identifying, via the website, a second plurality of audio chimes;ranking, based on a machine learning technique, the second plurality ofaudio chimes to assign the first audio chime a higher rank relative to asecond audio chime of the second plurality of audio chimes; andtransmitting, to the client device responsive to the rank, the firstaudio chime for storage in the memory of the client device. Accessing awebsite associated with the digital component provider device;identifying, via the website, a second plurality of audio chimescomprising the first audio chime and a second audio chime; determiningthat the first audio chime comprises spoken words; determining that thesecond audio chime is absent spoken words; assigning, based on the firstaudio chime comprising spoken words and the second audio chime absentspoken words, the first audio chime a higher rank relative to the secondaudio chime; and transmitting, to the client device responsive to theassignment, the first audio chime for storage in the memory of theclient device. The characteristic of the first audio chime may indicatethat spoken words are absent from the first audio chime. Determining,responsive to the characteristic of the first audio chime, theconfiguration comprising overlaying the first audio chime with at leasta portion of the digital component. The characteristic of the firstaudio chime may indicate that the first audio chime includes spokenwords. Determining, responsive to the characteristic of the first audiochime, the configuration comprising appending the first audio chime tothe digital component in a non-overlapping manner before or after thedigital component. Selecting, responsive to the request, a seconddigital component provided by a second digital component provider devicehaving a second identifier; identifying a second chime corresponding tothe second digital component provider device; determining, based on thecharacteristic of the first audio chime and a characteristic of thesecond audio chime, a second configuration to combine the digitalcomponent and the second digital component with the first audio chimeand the second audio chime; generating the action data structurecomprising the digital component, the second digital component, theindication of the first audio chime, an indication of the second audiochime, and the second configuration. Receiving a second requestcorresponding to a second client device; selecting, responsive to thesecond request, the digital component provided by the digital componentprovider device; identifying a second plurality of audio chimes storedin memory of the second client device; and matching, based on thepolicy, the identifier of the digital component provider device to asecond audio chime of the second plurality of audio chimes stored in thememory of the second client device, the second audio chime differentfrom the first audio chime.

These and other aspects and implementations are discussed in detailbelow. The foregoing information and the following detailed descriptioninclude illustrative examples of various aspects and implementations,and provide an overview or framework for understanding the nature andcharacter of the claimed aspects and implementations. The drawingsprovide illustration and a further understanding of the various aspectsand implementations, and are incorporated in and constitute a part ofthis specification.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings are not intended to be drawn to scale. Likereference numbers and designations in the various drawings indicate likeelements. For purposes of clarity, not every component may be labeled inevery drawing. In the drawings:

FIG. 1 is an illustration of a system to mix audio signals, inaccordance with an implementation.

FIG. 2 is an illustration of an operation of a system to mix audiosignals, in accordance with an implementation.

FIG. 3 is an illustration of a method of mixing audio signals, inaccordance with an implementation.

FIG. 4 is a block diagram illustrating a general architecture for acomputer system that can be employed to implement elements of thesystems depicted in FIG. 1 and FIG. 2, and the method depicted in FIG.3.

DETAILED DESCRIPTION

Following below are more detailed descriptions of various conceptsrelated to, and implementations of, methods, apparatuses, and systems ofmodulating packetized audio signals. The various concepts introducedabove and discussed in greater detail below may be implemented in any ofnumerous ways.

The present technical solution is generally directed to network sourceidentification via audio signals. For example, a data processing systemin a voice-based computing environment can receive a request or searchquery. The data processing system can access various sources ordatabases to generate a response to the request. However, in thevoice-based computing environment, it can be challenging to identify thesource in an efficient manner. Thus, systems and methods of the presenttechnical solution can improve the efficiency and effectiveness ofinformation transmission and network source identification over one ormore interfaces or one or more types of computer networks. For example,voice-based computing systems may have access to a limited number ofinterfaces, limited types of interfaces, or there may a limited numberof available interfaces at a given time. It may be challenging for asystem to efficiently transmit information and identify a source of theinformation using the currently available interfaces.

Systems and methods of the present technical solution can identify audiosignals or audio chimes stored in memory of a client computing device.The data processing system can use the previously stored chimes inmemory of the client computing device to provide an indication oridentification for a source of information accessed via a remote serveror remote database. Thus, rather than transmit the audio chime from thedata processing system to the client device, the data processing systemcan provide a pointer or identifier to the client computing device ofthe audio chime to combine with the response to provide the networksource identification. The audio chime can include spoken words, amodulation, a tone, a frequency, center frequency, and amplitude, awatermark, overlay, or otherwise audio signal that can indicate a sourceof data.

The present solution can reduce bandwidth utilization and associatedlatency in outputting a response by a speaker by selecting an audiochime previously stored in memory of the client device. By selecting apreviously stored audio chime, the data processing system can reducebandwidth utilization by transmitting smaller data files that do notinclude the audio chime, or reducing latency by reducing the amount ofdata transmitted.

FIG. 1 illustrates an example system 100 for network sourceidentification via audio signals. The system 100 can include contentselection infrastructure. The system 100 can include a data processingsystem 102. The data processing system 102 can communicate with one ormore of a digital component provider device 106 or client computingdevice 104 via a network 105. The network 105 can include computernetworks such as the Internet, local, wide, metro, or other areanetworks, intranets, satellite networks, and other communicationnetworks such as voice or data mobile telephone networks. The network105 can be used to access information resources such as web pages, websites, domain names, or uniform resource locators that can be presented,output, rendered, or displayed on at least one computing device 104,such as a laptop, desktop, tablet, personal digital assistant, smartphone, portable computers, or speaker. For example, via the network 105a user of the computing device 104 can access information or dataprovided by a digital component provider device 106. The computingdevice 104 may or may not include a display; for example, the computingdevice may include limited types of user interfaces, such as amicrophone and speaker. In some cases, the primary user interface of thecomputing device 104 may be a microphone and speaker. The computingdevice 104 can interface with or be included in a voice-based computingenvironment.

The network 105 can be used by the data processing system 102 to accessinformation resources such as web pages, web sites, domain names, oruniform resource locators that can be presented, output, rendered, ordisplayed by the client computing device 104. For example, via thenetwork 105 a user of the client computing device 104 can accessinformation or data provided by the digital component provider device106. The network 105 can include or constitute a sub-network ofinformation resources available on the internet that are associated witha content placement or search engine results system, or that areeligible to include third party digital components as part of a digitalcomponent placement campaign.

The network 105 may be any type or form of network and may include anyof the following: a point-to-point network, a broadcast network, a widearea network, a local area network, a telecommunications network, a datacommunication network, a computer network, an ATM (Asynchronous TransferMode) network, a SONET (Synchronous Optical Network) network, a SDH(Synchronous Digital Hierarchy) network, a wireless network and awireline network. The network 105 may include a wireless link, such asan infrared channel or satellite band. The topology of the network 105may include a bus, star, or ring network topology. The network mayinclude mobile telephone networks using any protocol or protocols usedto communicate among mobile devices, including advanced mobile phoneprotocol (“AMPS”), time division multiple access (“TDMA”), code-divisionmultiple access (“CDMA”), global system for mobile communication(“GSM”), general packet radio services (“GPRS”) or universal mobiletelecommunications system (“UMTS”). Different types of data may betransmitted via different protocols, or the same types of data may betransmitted via different protocols.

The system 100 can include at least one data processing system 102. Thedata processing system 102 can include at least one logic device such asa computing device having a processor to communicate via the network105, for example with the computing device 104, digital componentprovider device 106 (e.g., content provider). The data processing system102 can include at least one computation resource, server, processor ormemory. For example, the data processing system 102 can include aplurality of computation resources or servers located in at least onedata center. The data processing system 102 can include multiple,logically-grouped servers and facilitate distributed computingtechniques. The logical group of servers may be referred to as a datacenter, server farm or a machine farm. The servers can also begeographically dispersed. A data center or machine farm may beadministered as a single entity, or the machine farm can include aplurality of machine farms. The servers within each machine farm can beheterogeneous—one or more of the servers or machines can operateaccording to one or more type of operating system platform.

Servers in the machine farm can be stored in high-density rack systems,along with associated storage systems, and located in an enterprise datacenter. For example, consolidating the servers in this way may improvesystem manageability, data security, the physical security of thesystem, and system performance by locating servers and high performancestorage systems on localized high performance networks. Centralizationof all or some of the data processing system 102 components, includingservers and storage systems, and coupling them with advanced systemmanagement tools allows more efficient use of server resources, whichsaves power and processing requirements and reduces bandwidth usage.

The system 100 can include, access, or otherwise interact with at leastone digital component provider device 106. The digital componentprovider device 106 can include at least one logic device such as acomputing device having a processor to communicate via the network 105,for example with the computing device 104, or the data processing system102. The digital component provider device 106 can include at least onecomputation resource, server, processor or memory. For example, thedigital component provider device 106 can include a plurality ofcomputation resources or servers located in at least one data center.The digital component provider device 106 can include one or morecomponent or functionality of the data processing system 102. Thedigital component provider device 106 can include or refer to a serviceprovider device, or goods provider device.

The digital component provider device 106 can provide audio baseddigital components for display by the client computing device 104 as anaudio output digital component. The digital component can includeresponses to search queries or requests. The digital component caninclude information from databases, search engines, or networkedresources. For example, the digital component can include newsinformation, weather information, sports information, encyclopediaentries, dictionary entries, or information from digital textbooks. Thedigital component can include offers for a good or service, such as avoice based message that states: “Would you like me to order you ataxi?” The digital component provider device 106 can include memory tostore a series of audio digital components that can be provided inresponse to a voice based query. The digital component provider device106 can also provide audio based digital components (or other digitalcomponents) to the data processing system 102 where they can be storedin the data repository 124. The data processing system 102 can selectthe audio digital components and provide (or instruct the contentprovider computing device 104 to provide) the audio digital componentsto the client computing device 104. The audio based digital componentscan be exclusively audio or can be combined with text, image, or videodata.

The computing device 104 can include, interface, or otherwisecommunicate with at least one sensor 134, transducer 136, audio driver138, or pre-processor 140. The sensor 134 can include, for example, anambient light sensor, proximity sensor, temperature sensor,accelerometer, gyroscope, motion detector, GPS sensor, location sensor,microphone, or touch sensor. The transducer 136 can include a speaker ora microphone. The audio driver 138 can provide a software interface tothe hardware transducer 136. The audio driver can execute the audio fileor other instructions provided by the data processing system 102 tocontrol the transducer 136 to generate a corresponding acoustic wave orsound wave. The pre-processor 140 can be configured to detect a triggerkeyword, predetermined hot word, initiation keyword, or activationkeyword. In some cases, the trigger keyword can include a request toperform an action. In some cases, the trigger keyword can includepredetermined action keyword to enable or activate the computing device104, and the request keywords can follow the trigger keyword or hotword. The pre-processor 140 can be configured to detect a keyword andperform an action based on the keyword. The pre-processor 140 can filterout one or more terms or modify the terms prior to transmitting theterms to the data processing system 102 for further processing. Thepre-processor 140 can convert the analog audio signals detected by themicrophone into a digital audio signal, and transmit one or more datapackets carrying the digital audio signal to the data processing system102 via the network 105. In some cases, the pre-processor 140 cantransmit data packets carrying some or all of the input audio signalresponsive to detecting an instruction to perform such transmission. Theinstruction can include, for example, a trigger keyword or other keywordor approval to transmit data packets comprising the input audio signalto the data processing system 102.

The client computing device 104 can be associated with an end user thatenters voice queries as audio input into the client computing device 104(via the sensor 134) and receives audio output in the form of a computergenerated voice that can be provided from the data processing system 102(or the digital component provider device 106) to the client computingdevice 104, output from the transducer 136 (e.g., a speaker). Thecomputer generated voice can include recordings from a real person orcomputer generated language.

The data repository 124 can include one or more local or distributeddatabases, and can include a database management system. The datarepository 124 can include computer data storage or memory and can storechime data 126, policies 128, configuration 130, and quality score data132, among other data. The chime data 126 can include or refer to achime data base, chime data structure, or chime index. The chime data126 can include or store audio chimes using an audio codec, such as.wav, .mp3, .wma, .alac, .aac, for example. The chime data 126 caninclude an index of audio chime identifiers that map to digitalcomponent provider device identifiers or other data source identifiers.The chime data 126 can include meta data about the chimes, such as acharacteristic of the chime or type of the chime. A characteristic ofthe chime can refer to or include whether the chime includes spokenwords, spoken words and music, spoken words only, or instrumental only.Additional characteristic of the chime can include, for example, aduration of the chime, a volume of the chime, frequency or tone of thechime. The characteristics can include or indicate a configuration forthe chime, such as whether the chime is configured to be played before adigital component, after a digital component, during a digitalcomponent, or whether the chime can overlap with the digital component.

The data repository 124 can store policies 128 (e.g., a policy datastructure). The policies 128 can be used by the data processing system102 match identifiers of digital component providers to audio chimes.The data processing system 102 can use the policies to match identifiersto audio chimes stored on a computing device 104. Policies 128 caninclude or be based on, for example, rules, logic, thresholds,characteristics, or preferences.

The data repository 124 can include or store configurations 130 (e.g., aconfiguration data structure). Configurations 130 can refer to how theaudio chime can be combined with the digital component. Exampleconfigurations can include adding the audio chime before the audiodigital component, adding the audio chime after the digital component,or at least partially overlaying the audio chime over the digitalcomponent. Additional example configurations can include adjusting ormodifying a characteristic of the audio chime or the audio digitalcomponent, such as an amplitude, volume, frequency, tone or duration.

The data repository 124 can include or store quality scores 132. Qualityscores 132 can refer to a quality of a digital component provider device106. For example, the quality scores 132 can indicate a quality in asource of information. The quality score 132 can indicate a quality of awebsite. Quality can refer to validity, reliability, popularity, trust,or security. The quality score can include a numeric value, analphanumeric value, grade, or other indicator of score. The qualityscore can be binary (e.g., 0 or 1; good or bad; or pass or fail). Thequality score can be on a scale, such as a scale of 1 to 10 (with 1being the lowest quality and 10 being the highest quality, or viceversa), or grade A to F. For example, the quality of a digital componentprovider device 106 or website can be high (e.g., a 9 or 10) if theinformation on the website is corroborated by multiple other websites.The data processing system 102 can include a machine learning engine orprocess to determine the quality of a digital component provider device106. The data processing system 102 can determine the quality of awebsite based on how often the website is updated (e.g., a news websitethat is updated daily). The data processing system 102 can include apredetermined list of websites with quality scores. The data processingsystem 102 can determine the quality of a website based on feedback, byparsing comments, or using other techniques. In some cases, a user ofthe computing device 104 can provide a score of websites that theyprefer.

The data processing system 102 can include a content placement systemhaving at least one computation resource or server. The data processingsystem 102 can include, interface, or otherwise communicate with atleast one interface 110. The data processing system 102 can include,interface, or otherwise communicate with at least one natural languageprocessor component 112. The data processing system 102 can include,interface, or otherwise communicate with at least one digital componentselector component 114. The data processing system 102 can include,interface, or otherwise communicate with at least one chime generatorcomponent 116. The data processing system 102 can include, interface, orotherwise communicate with at least one synthesizer component 118. Thedata processing system 102 can include, interface, or otherwisecommunicate with at least one data repository 124. The at least one datarepository 124 can include or store, in one or more data structures ordatabases, chime data 126, policies 128, configurations 130, or qualityscores 132.

The interface 110, natural language processor component 112, digitalcomponent selector component 114, chime generator component 116, orsynthesizer component 118 can each include at least one processing unitor other logic device such as programmable logic array engine, or moduleconfigured to communicate with the database repository or database 124.The interface 110, natural language processor component 112, digitalcomponent selector component 114, chime generator component 116,synthesizer component 118 and data repository 124 can be separatecomponents, a single component, or part of the data processing system102. The system 100 and its components, such as a data processing system102, can include hardware elements, such as one or more processors,logic devices, or circuits.

The data processing system 102 can obtain anonymous computer networkactivity information associated with a plurality of computing devices104. A user of a computing device 104 can affirmatively authorize thedata processing system 102 to obtain network activity informationcorresponding to the user's computing device 104. For example, the dataprocessing system 102 can prompt the user of the computing device 104for consent to obtain one or more types of network activity information.The identity of the user of the computing device 104 can remainanonymous and the computing device 104 can be associated with a uniqueidentifier (e.g., a unique identifier for the user or the computingdevice provided by the data processing system or a user of the computingdevice). The data processing system can associate each observation witha corresponding unique identifier.

A digital component provider 106 can establish an electronic contentcampaign. The electronic content campaign can be stored as content datain data repository 124. An electronic content campaign can refer to oneor more content groups that correspond to a common theme. A contentcampaign can include a hierarchical data structure that includes contentgroups, digital component data objects, and content selection criteria.To create a content campaign, digital component provider 106 can specifyvalues for campaign level parameters of the content campaign. Thecampaign level parameters can include, for example, a campaign name, apreferred content network for placing digital component objects, a valueof resources to be used for the content campaign, start and end datesfor the content campaign, a duration for the content campaign, aschedule for digital component object placements, language, geographicallocations, type of computing devices on which to provide digitalcomponent objects. In some cases, an impression can refer to when adigital component object is fetched from its source (e.g., dataprocessing system 102 or digital component provider 106), and iscountable. In some cases, due to the possibility of click fraud, roboticactivity can be filtered and excluded, as an impression. Thus, in somecases, an impression can refer to a measurement of responses from a Webserver to a page request from a browser, which is filtered from roboticactivity and error codes, and is recorded at a point as close aspossible to opportunity to render the digital component object fordisplay on the computing device 104. In some cases, an impression canrefer to a viewable or audible impression; e.g., the digital componentobject is at least partially (e.g., 20%, 30%, 30%, 40%, 50%, 60%, 70%,or more) viewable on a display device of the client computing device104, or audible via a speaker 136 of the computing device 104. A clickor selection can refer to a user interaction with the digital componentobject, such as a voice response to an audible impression, amouse-click, touch interaction, gesture, shake, audio interaction, orkeyboard click. A conversion can refer to a user taking a desired actionwith respect to the digital component objection; e.g., purchasing aproduct or service, completing a survey, visiting a physical storecorresponding to the digital component, or completing an electronictransaction.

The digital component provider 106 can further establish one or morecontent groups for a content campaign. A content group includes one ormore digital component objects and corresponding content selectioncriteria, such as keywords, words, terms, phrases, geographic locations,type of computing device, time of day, interest, topic, or vertical.Content groups under the same content campaign can share the samecampaign level parameters, but may have tailored specifications forparticular content group level parameters, such as keywords, negativekeywords (e.g., that block placement of the digital component in thepresence of the negative keyword on main content), bids for keywords, orparameters associated with the bid or content campaign.

To create a new content group, the content provider can provide valuesfor the content group level parameters of the content group. The contentgroup level parameters include, for example, a content group name orcontent group theme, and bids for different content placementopportunities (e.g., automatic placement or managed placement) oroutcomes (e.g., clicks, impressions, or conversions). A content groupname or content group theme can be one or more terms that the digitalcomponent provider 106 can use to capture a topic or subject matter forwhich digital component objects of the content group is to be selectedfor display. For example, a car dealership can create a differentcontent group for each brand of vehicle it carries, and may furthercreate a different content group for each model of vehicle it carries.Examples of the content group themes that the car dealership can useinclude, for example, “Make A sports car” “Make B sports car,” “Make Csedan,” “Make C truck,” “Make C hybrid,” or “Make D hybrid.” An examplecontent campaign theme can be “hybrid” and include content groups forboth “Make C hybrid” and “Make D hybrid”, for example.

The digital component provider 106 can provide one or more keywords anddigital component objects to each content group. Keywords can includeterms that are relevant to the product or services of associated with oridentified by the digital component objects. A keyword can include oneor more terms or phrases. For example, the car dealership can include“sports car,” “V-6 engine,” “four-wheel drive,” “fuel efficiency,” askeywords for a content group or content campaign. In some cases,negative keywords can be specified by the content provider to avoid,prevent, block, or disable content placement on certain terms orkeywords. The content provider can specify a type of matching, such asexact match, phrase match, or broad match, used to select digitalcomponent objects.

The digital component provider 106 can provide one or more keywords tobe used by the data processing system 102 to select a digital componentobject provided by the digital component provider 106. The digitalcomponent provider 106 can identify one or more keywords to bid on, andfurther provide bid amounts for various keywords. The digital componentprovider 106 can provide additional content selection criteria to beused by the data processing system 102 to select digital componentobjects. Multiple content providers 106 can bid on the same or differentkeywords, and the data processing system 102 can run a content selectionprocess or ad auction responsive to receiving an indication of a keywordof an electronic message.

The digital component provider 106 can provide one or more digitalcomponent objects for selection by the data processing system 102. Thedata processing system 102 (e.g., via digital component selectorcomponent 114) can select the digital component objects when a contentplacement opportunity becomes available that matches the resourceallocation, content schedule, maximum bids, keywords, and otherselection criteria specified for the content group. Different types ofdigital component objects can be included in a content group, such as avoice digital component, audio digital component, a text digitalcomponent, an image digital component, video digital component,multimedia digital component, or digital component link. Upon selectinga digital component, the data processing system 102 can transmit thedigital component object for rendering on a computing device 104 ordisplay device of the computing device 104. Rendering can includedisplaying the digital component on a display device, or playing thedigital component via a speaker of the computing device 104. The dataprocessing system 102 can provide instructions to a computing device 104to render the digital component object. The data processing system 102can instruct the computing device 104, or an audio driver 138 of thecomputing device 104, to generate audio signals or acoustic waves.

The data processing system 102 can include an interface component 110designed, configured, constructed, or operational to receive andtransmit information using, for example, data packets. The interface 110can receive and transmit information using one or more protocols, suchas a network protocol. The interface 110 can include a hardwareinterface, software interface, wired interface, or wireless interface.The interface 110 can facilitate translating or formatting data from oneformat to another format. For example, the interface 110 can include anapplication programming interface that includes definitions forcommunicating between various components, such as software components.

The data processing system 102 can include an application, script orprogram installed at the client computing device 104, such as an app tocommunicate input audio signals to the interface 110 of the dataprocessing system 102 and to drive components of the client computingdevice to render output audio signals. The data processing system 102can receive data packets or other signal that includes or identifies anaudio input signal. For example, the data processing system 102 canexecute or run the NLP component 112 to receive or obtain the audiosignal and parse the audio signal. For example, the NLP component 112can provide for interactions between a human and a computer. The NLPcomponent 112 can be configured with techniques for understandingnatural language and allowing the data processing system 102 to derivemeaning from human or natural language input. The NLP component 112 caninclude or be configured with technique based on machine learning, suchas statistical machine learning. The NLP component 112 can utilizedecision trees, statistical models, or probabilistic models to parse theinput audio signal. The NLP component 112 can perform, for example,functions such as named entity recognition (e.g., given a stream oftext, determine which items in the text map to proper names, such aspeople or places, and what the type of each such name is, such asperson, location, or organization), natural language generation (e.g.,convert information from computer databases or semantic intents intounderstandable human language), natural language understanding (e.g.,convert text into more formal representations such as first-order logicstructures that a computer module can manipulate), machine translation(e.g., automatically translate text from one human language to another),morphological segmentation (e.g., separating words into individualmorphemes and identify the class of the morphemes, which can bechallenging based on the complexity of the morphology or structure ofthe words of the language being considered), question answering (e.g.,determining an answer to a human-language question, which can bespecific or open-ended), semantic processing (e.g., processing that canoccur after identifying a word and encoding its meaning in order torelate the identified word to other words with similar meanings).

The NLP component 112 converts the audio input signal into recognizedtext by comparing the input signal against a stored, representative setof audio waveforms (e.g., in the data repository 124) and choosing theclosest matches. The set of audio waveforms can be stored in datarepository 124 or other database accessible to the data processingsystem 102. The representative waveforms are generated across a largeset of users, and then may be augmented with speech samples from theuser. After the audio signal is converted into recognized text, the NLPcomponent 112 matches the text to words that are associated, for examplevia training across users or through manual specification, with actionsthat the data processing system 102 can serve.

The audio input signal can be detected by the sensor 134 or transducer136 (e.g., a microphone) of the client computing device 104. Via thetransducer 136, the audio driver 138, or other components the clientcomputing device 104 can provide the audio input signal to the dataprocessing system 102 (e.g., via the network 105) where it can bereceived (e.g., by the interface 110) and provided to the NLP component112 or stored in the data repository 124.

The NLP component 112 can obtain the input audio signal. From the inputaudio signal, the NLP component 112 can identify at least one request orat least one trigger keyword corresponding to the request. The requestcan indicate intent or subject matter of the input audio signal. Thetrigger keyword can indicate a type of action likely to be taken. Forexample, the NLP component 112 can parse the input audio signal toidentify at least one request to leave home for the evening to attenddinner and a movie. The trigger keyword can include at least one word,phrase, root or partial word, or derivative indicating an action to betaken. For example, the trigger keyword “go” or “to go to” from theinput audio signal can indicate a need for transport. In this example,the input audio signal (or the identified request) does not directlyexpress an intent for transport, however the trigger keyword indicatesthat transport is an ancillary action to at least one other action thatis indicated by the request.

The NLP component 112 can parse the input audio signal to identify,determine, retrieve, or otherwise obtain the request and the triggerkeyword. For instance, the NLP component 112 can apply a semanticprocessing technique to the input audio signal to identify the triggerkeyword or the request. The NLP component 112 can apply the semanticprocessing technique to the input audio signal to identify a triggerphrase that includes one or more trigger keywords, such as a firsttrigger keyword and a second trigger keyword. For example, the inputaudio signal can include the sentence “I need someone to do my laundryand my dry cleaning.” The NLP component 112 can apply a semanticprocessing technique, or other natural language processing technique, tothe data packets comprising the sentence to identify trigger phrases “domy laundry” and “do my dry cleaning”. The NLP component 112 can furtheridentify multiple trigger keywords, such as laundry, and dry cleaning.For example, the NLP component 112 can determine that the trigger phraseincludes the trigger keyword and a second trigger keyword.

The NLP component 112 can identify search queries or trigger phrasescorresponding to performing a search or other request for information.The NLP component 112 can determine that the input audio signalcorresponds to a request for information about a topic, event, currentevent, news event, dictionary definition, historical event, person,place or thing. For example, the NLP component 112 can determine thatthe input audio signal corresponds to a search query for informationabout a historical event, such as “When did the American Revolution takeplace?”

The NLP component 112 can filter the input audio signal to identify thekeywords, search query, or trigger keyword. For example, the datapackets carrying the input audio signal can include “It would be greatif I could get someone that could help me go to the airport”, in whichcase the NLP component 112 can filter out one or more terms as follows:“it”, “would”, “be”, “great”, “if”, “I”, “could”, “get”, “someone”,“that”, “could”, or “help”. By filtering out these terms, the NLPcomponent 112 may more accurately and reliably identify the triggerkeywords, such as “go to the airport” and determine that this is arequest for a taxi or a ride sharing service.

In some cases, the NLP component can determine that the data packetscarrying the input audio signal includes one or more requests. Forexample, the input audio signal can include multiple request forinformation such as “When was the American Revolution and what years didGeorge Washington serve as President?” The NLP component 112 candetermine that this request includes two different queries that theresponses to the queries may come from two different sources. In anotherexample, the input audio signal can include the sentence “I need someoneto do my laundry and my dry cleaning.” The NLP component 112 candetermine this is a request for a laundry service and a dry cleaningservice. The NLP component 112 can determine this is a single requestfor a service provider that can provide both laundry services and drycleaning services. The NLP component 112 can determine that this is tworequests; a first request for a service provider that performs laundryservices, and a second request for a service provider that provides drycleaning services. In some cases, the NLP component 112 can combine themultiple determined requests into a single request, and transmit thesingle request to a digital component provider device 106. In somecases, the NLP component 112 can transmit the individual requests torespective service provider devices 108, or separately transmit bothrequests to the digital component provider device 106.

The data processing system 102 can include, execute, or otherwisecommunicate with a digital component selector component 114 to receivethe queries, keywords or trigger keyword identified by the naturallanguage processor and select, based on the trigger keyword, a digitalcomponent. The digital component selector component 114 can select thedigital component via a real-time content selection process. The contentselection process can include, for example, performing a search via asearch engine, or accessing a database stored on a remote server ordevice such as a digital component provider device 106. The contentselection process can refer to, or include, selecting sponsored digitalcomponent objects provided by third party content providers 106. Thereal-time content selection process can include a service in whichdigital components provided by multiple content providers are parsed,processed, weighted, or matched in order to select one or more digitalcomponents to provide to the computing device 104. The digital componentselector component 114 can perform the content selection process inreal-time. Performing the content selection process in real-time canrefer to performing the content selection process responsive to therequest for content received via the client computing device 104. Thereal-time content selection process can be performed (e.g., initiated orcompleted) within a time interval of receiving the request (e.g., 1second, 2 seconds, 5 seconds, 10 seconds, 20 seconds, 30 seconds, 1minute, 2 minutes, 3 minutes, 5 minutes, 10 minutes, or 20 minutes). Thereal-time content selection process can be performed during acommunication session with the client computing device 104, or within atime interval after the communication session is terminated. The dataprocessing system 102 can select an audio chime to provide subsequent tocompletion of the digital component selection process or other digitaltask.

For example, the data processing system 102 can include a digitalcomponent selector component 114 designed, constructed, configured oroperational to select digital component objects. To select digitalcomponents for display in a voice-based environment, the data processingsystem 102 (e.g., via NLP component 112) can parse the input audiosignal to identify queries, keywords (e.g., a trigger keyword), and usethe keywords to select a matching digital component. The data processingsystem 102 can select the matching digital component based on a broadmatch, exact match, or phrase match. For example, the digital componentselector component 114 can analyze, parse, or otherwise process subjectmatter of candidate digital components to determine whether the subjectmatter of the candidate digital components correspond to the subjectmatter of the keywords or phrases of the input audio signal detected bythe microphone of the client computing device 104. The digital componentselector component 114 may identify, analyze, or recognize voice, audio,terms, characters, text, symbols, or images of the candidate digitalcomponents using an image processing technique, character recognitiontechnique, natural language processing technique, or database lookup.The candidate digital components may include metadata indicative of thesubject matter of the candidate digital components, in which case thedigital component selector component 114 may process the metadata todetermine whether the subject matter of the candidate digital componentcorresponds to the input audio signal.

Digital component providers 106 may provide additional indicators whensetting up a content campaign that includes digital components. Thecontent provider may provide information at the content campaign orcontent group level that the digital component selector component 114may identify by performing a lookup using information about thecandidate digital component. For example, the candidate digitalcomponent may include a unique identifier, which may map to a contentgroup, content campaign, or content provider. The digital componentselector component 114 may determine, based on information stored incontent campaign data structure in data repository 124, informationabout the digital component provider 106.

The data processing system 102 can receive, via a computer network, arequest for content for presentation on a computing device 104. The dataprocessing system 102 can identify the request by processing an inputaudio signal detected by a microphone of the client computing device104. The request can include selection criteria of the request, such asthe device type, location, and a keyword associated with the request.

Responsive to the request, the data processing system 102 can select adigital component object from data repository 124 or a databaseassociated with the digital component provider 106, and provide thedigital component for presentation via the computing device 104 vianetwork 105. The computing device 104 can interact with the digitalcomponent object. The computing device 104 can receive an audio responseto the digital component. The computing device 104 can receive anindication to select a hyperlink or other button associated with thedigital component object that causes or allows the computing device 104to identify a service provider, request a service from the serviceprovider, instruct the service provider to perform a service, transmitinformation to the service provider, or otherwise query the serviceprovider device.

However, in a voice-based computing environment in which the input is anaudio signal provided and the output can also be an audio signal, it canbe challenging, cumbersome or inefficient to accurately identify thedigital source that provided the response to the request, query orkeyword. For example, the response to the query “When did the Americanrevolution take place?” may be a first digital component provider device106, whereas the response to the query “What is the weather?” can befrom a second digital component provider device 106. Since a displaydevice may not be accessible or coupled to the computing device 104(e.g., the computing device 104 can be a speaker configured with adigital assistant), the data processing system 102 may not be able toprovide a logo, or other visual indication of the source. Further, thedata processing system 102 may determine that providing a text to speechversion of the source, such as “first digital computing device” may beinefficient or result in an output signal that has a longer duration.Thus, the data processing system 102 can determine to use an audio chimethat is an indicator of the source of the digital component selectedresponsive to the request in the input audio signal.

Providing an audio chime that indicates the source of the digitalcomponent may utilize additional bandwidth. Further, since the same orsimilar sources may be used to provide responses to queries from theinput audio signals (e.g., an online encyclopedia, an online weatherdatabase, an online dictionary, or an online news website), the dataprocessing system 102 can determine to reduce bandwidth consumption bystoring frequently used audio chimes on the computing device 104 aschime data 142.

The data processing system 102 can include a chime generator component116 designed, constructed, configured or operational to generate,identify or store audio chimes. The chime generator component 116 canregister and store chimes provided by a digital component providerdevice 106. The chime generator component 116 can provide an interface(e.g., via interface 110) via which digital component provider devices106 can upload or transmit audio chimes. The digital component providerdevice 106 can transmit an audio chime configured using an audio codec.The chime generator component 116 can process or receive audio chimes invarious formats or audio codec and convert the audio chime into a commonformat for storage in the data repository 124 chime data 126 or forprovision to the computing device 104 for storage in chime data 142 onthe computing device (e.g., computing device chime data). The dataprocessing system 102 can receive one or more audio chimes from the samedigital component provider device 106. The data processing system 102can receive information associated with the audio chimes, such as anidentifier of the digital component provider device 106, or informationabout a policy to use to select the audio chime. The data processingsystem 102 can store the received audio chime in the chime data 126 andassign the audio chime an identifier corresponding to the digitalcomponent provider device 106 or online source.

For example, the data processing system 102 can receive, from thedigital component provider device 106, a request to register audiochimes. The data processing system 102 can approve, based on a dataquality score of the digital component provider device 106, the requestto register audio chimes for the digital component provider device 106.The quality score can indicate whether the digital component providerdevice 106 is trusted, safe, secure, provides reliable information, oris otherwise authorized or approved for audio chimes. The dataprocessing system 102 can receive, from the digital component providerdevice, the audio chime. The data processing system 102 can assess thequality score of the data processing system 102 responsive to a requestto register the audio chime. The data processing system 102 candetermine the quality score for the digital component provider device106 by performing a lookup in the quality scores 132 data structurestored in data repository 124 using the identifier for the digitalcomponent provider device 106. The data processing system 102 candetermine to block registration of the audio chime if the quality scoreis less than a threshold quality score. The data processing system 102can determine to store the audio chime in chime data 126, but block theuse or transmission of the audio chime responsive to the quality scorebeing below a threshold. The data processing system 102 can dynamicallydetermine the quality score for a provider, and then make a real-timedecision as to whether to include the audio chime with the digitalcomponent at the time of generation of the data structure or outputaudio signal.

The data processing system 102 (e.g., via chime generator component 116)can process a website or multimedia content of a digital componentprovider device 106 or online source to identify an audio chime. Forexample, the chime generator 116 can be configured with one or moremachine learning techniques to parse, process or otherwise analyze awebsite or multimedia content to automatically identify an audio chimecorresponding to the source of the information. For example, a websitecan include multiple links to video content or audio content. Each ofthe video or audio content items can include a portion with the sameaudio. Thus, the data processing system 102 can determine that theportions with the same audio can correspond to an audio chime that canbe used as an identifier of the source of the information. The dataprocessing system 102 can determine to store the audio chime in thechime data 126 and assign the audio chime with an identifiercorresponding to the source.

The data processing system 102 can apply natural language processingtechniques to determine spoken words in video or audio content. The dataprocessing system 102 can determine that the spoken words can identifythe source of the information and form an audio chime. For example, thesame spoken words can be used on multiple video or audio content itemsassociated with a website, and the data processing system 102 candetermine to create an audio chime that includes the spoken words. Theaudio chime with the spoken words can identify the source.

The chime generator component 116 can determine that a websiteassociated with a digital component provider device 106 or other sourceincludes a data file that is tagged as an audio chime for the website.For example, the developer of the website can store a data file with atag that identifies the data file as an audio chime. The tag can be apredetermined tag or in a predetermined format. The chime generator 116can crawl websites to identify websites having audio chime tags,retrieve the audio chimes, assign the audio chime an identifier, andstore the audio chime in chime data 126 or provide the audio chime forstorage in chime data 142 on the computing device 104.

The data processing system 102 can receive chimes from a user of thecomputing device 104. For example, the user of the computing device 104can select their own audio chimes to present with digital component fromparticular sources or providers. The user can select a list of availableaudio chimes, or provide audio chimes from other sources. The user canassign the audio chimes to digital component providers, or the dataprocessing system 102 can match the user provided audio chimes toproviders based on a policy or characteristic of the audio chime.

The data processing system 102 (e.g., via chime generator 116) canprocess the audio chimes to identify or determine characteristicsassociated with the audio chimes. The data processing system 102 can usenatural language processing techniques to determine if the audio chimesinclude spoken words. The data processing system 102 can determinewhether the audio chimes are instrumental only. The data processingsystem 102 can determine whether the audio chimes include music. Thedata processing system 102 can determine whether the audio chimesinclude certain types of words, such as trademarked terms, nouns, orverbs. The data processing system 102 can determine a duration of theaudio chime, a volume of the audio chime, or frequency or tone of theaudio chime.

The data processing system 102 can rank or score audio chimes. Forexample, a digital component provider 106 can be associated withmultiple chimes. The different audio chimes can include differentcharacteristics. The data processing system 102 can rank the audiochimes for a digital component provider device 106 based on thecharacteristics. For example, a shorter duration audio chime can beranked higher than a longer duration audio chime; an audio chime withspoken words can be ranked higher than an audio chime without spokenwords; an audio chime with a high tone can be ranked lower than an audiochime with a low tone. The ranking can be based on a machine learningtechnique, feedback, or preferences. The ranking can be based on typesof digital component providers or digital component.

For example, the data processing system 102 can determine the rank foran audio chime for a dictionary source by ranking characteristics suchas short duration higher than long duration because a digital componentfrom a dictionary may have a short duration. The data processing system102 can determine the rank for an audio chime for a news source byranking characteristics such as long duration higher than short durationbecause a digital component from a news source may have a longerduration. The data processing system 102 can determine the rank for anaudio chime for a news source by ranking characteristics such as spokenwords higher than instrumental only.

For example, the data processing system 102 can access a websiteassociated with digital component provider device 106. The dataprocessing system 102 can identify, via the website, multiple audiochimes. The data processing system 102 can rank, based on a machinelearning technique, the audio chimes to assign a first audio chime ahigher rank relative to a second audio chime of the multiple audiochimes identified on the website. The data processing system 102 cantransmit, to the computing device 104 responsive to the rank, the firstaudio chime for storage in the local chime data 142 memory of thecomputing device 104 (e.g., client device).

In another example, the data processing system 102 can access a websiteassociated with digital component provider device 106. The dataprocessing system 102 can identify, via the website, the audio chimesincluding a first audio chime and a second audio chime. The dataprocessing system 102 can determine that the first audio chime includesspoken words, and the second audio chime is absent spoken words (e.g.,instrumental only). The data processing system 102 can assign, based onthe first audio chime comprising spoken words and the second audio chimeabsent spoken words, the first audio chime a higher rank relative to thesecond audio chime. The data processing system 102 can transmit, to thecomputing device 104 responsive to the assignment, the first audio chimefor storage in the local chime data 142 memory of the computing device104.

The data processing system 102 (e.g., via chime generator component 116)can map chimes to identifiers corresponding to the digital componentprovider device 106 or information source. The data processing system102 can store the mapping of audio chimes to identifiers in chime data126. The data processing system 102 can store characteristics associatedwith audio chimers in the chime data 126. The data processing system 102can store the identifiers, characteristics, and audio chime in a datastructure or using an index that includes pointers to the audio chimedata file.

The data processing system 102 can provide audio chimes to the computingdevice 104. The data processing system 102 can transmit the local chimedata 142 based on a time interval, such as every 24 hours, 48 hours, 72hours, weekly, monthly, or other time interval. The data processingsystem 102 can update the local chime data 142 responsive to an event,condition or request. The data processing system 102 can perform a batchtransfer of the local chime data 142. The data processing system 102 cantransmit, prior to receipt of the input audio signal detected by thesensor 134 of the computing device 104, the audio chime to the computingdevice 104 (e.g., client device) for storage in the local chime data 142memory of the computing device 104.

The data processing system 102 can transmit audio chimes or chime datato the computing device 104. The data processing system 102 can transmitall of chime data 126 or a subset of chime data 126 to the computingdevice 104 for storage as local chime data 142 in memory of thecomputing device 104. For example, the data processing system 102 candetermine frequently used sources by the computing device 104 and thenselect a subset of chime data 126 for storage as local chime data 142.The local chime data 142 can be a limited or fixed size or number ofaudio chimes so as not to occupy excessive memory resources on thecomputing device 104.

The data processing system 102 can determine, based on historicalrequests received from the computing device 104, multiple digitalcomponent provider devices associated with digital components responsiveto the historical requests. The data processing system 102 can identifya set of chimes corresponding to the digital component provider devices,and then transmit the set of chimes to the computing device 104 forstorage in the memory as local chime data 142. The historical requestscan refer to requests within the past 24 hours, 48 hours, 72 hours,week, month or other time interval. The data processing system 102 canmaintain a list of identifiers of providers corresponding to therequests, and maintain a counter of the number of requests associatedwith each provider in order to rank the most frequent providers. Thedata processing system 102 can provide chime data for all providersassociated with requests in the past 24 hours, 48 hours, 72 hours, week,month or other interval. The data processing system 102 can providechime data for the top N number of providers (e.g., top 5, top 10, orother number).

The data processing system 102 can identify multiple websites or onlinedatabases associates with digital component provider devices 106. Toreduce memory utilization on the computing device 104, rather thanprovide all available audio chimes, the chime generator component 116can filter out the multiple audio chimes to select a subset of audiochimes or a single audio chime to provide for a source or digitalcomponent provider device 106. For example, the data processing system102 can use a memory reduction policy (e.g., stored in policies 128) tofilter out audio chimes and select the audio chime to transmit to thecomputing device 104 for storage in local chime data 142. The memoryreduction policy can include, for example, selecting the audio chimehaving the smallest data file size, selecting the audio chime with theleast duration, or the determination to remove one or more audio chimesthat may be redundant or duplicative because they identify the sameprovider.

The data processing system 102 filter, based on the memory reductionpolicy, the audio chimes to remove one or more audio chimes to establisha filtered set or final set of audio chimes (e.g., chime data 126). Thedata processing system 102 can transmit some or all of the audio chimesfrom the final set of audio chimes to the computing device 104 forstorage in the local chime data 142 memory of the client computingdevice 104.

The data processing system 102 can provide the audio chimes for storagein the local chime data 142. For example, the data processing system 102can provide the audio chimes to the computing device 104 for storagebefore receiving the input audio signal that resulted in the selectionof the digital component. In some cases, the data processing system 102can receive a request for audio chimes from the computing device 104.

The computing device 104 can store one or more sets of chime data in thelocal chime data 142. For example, the computing device 104 can use afirst set of chime data for a first user, and a second set of chime datafor a second user of the computing device 104. The data processingsystem 102 can use one or more policies to select a chime to use for adigital component based on the user of the computing device 104. Forexample, the data processing system 102 or computing device 104 can usea user-specific matching policy to select a chime to assign to a digitalcomponent. In some cases, the data processing system 102 or computingdevice 104 can select the user based on an account or profile that hasbeen logged into the computing device 104 or data processing system 102.

The data processing system 102 can include a synthesizer component 118.The synthesizer component 118 can be designed, constructed, configuredor operational to provide an audio chime with a digital component. Thedata processing system 102 (e.g., via synthesizer component 118) canidentify audio chimes stored in memory of the computing device 104. Thedata processing system 104 can request a list of audio chimes in localchime data 142. For example, the data processing system 104 can requestthe list of audio chimes responsive to the input audio signal beingreceived. The computing device 104 can provide the list of audio chimesstored in local chime data 142 along with the input audio signal. Thedata processing system 104 can maintain, in the data repository 124, alist of audio chimes stored in the data of local chime data 142 of acomputing device 104. The data processing system 102 can select theaudio chime to use based on the list of available audio chimes stored inlocal chime data 142. In some cases, the data processing system 102 cantransmit the audio chime to the computing device 104. In some cases, thedata processing system 102 can determine to select the audio chime touse from the list of available audio chimes in the local chime data 142to reduce the bandwidth utilization and latency associated with theproviding the audio chime along with the digital component.

The data processing system 102 can request, prior to receipt of theinput audio signal, a list of audio chimes stored in memory of thecomputing device 104. The data processing system 102 can receive,responsive to the request, the list of chimes comprising anidentification of the audio chimes stored in the local chime data 142memory of the computing device 104.

The data processing system 102 can match, based on a policy (e.g., frompolicies 128), the identifier of the digital component provider device106 to a first audio chime of the audio chimes stored in the local chimedata 142 memory of the computing device 104. The policy can be aone-to-one matching of the identifier to the audio chimes associatedwith the same identifier. If an identifier is associated with multipleaudio chimes, the data processing system 102 can use the policy toselect the highest ranking audio chime for the identifier.

The policy can be to select the audio chime based on a characteristic ofthe audio chime or the digital component, such as duration, volume,tone, spoken words, or instrumental only. For example, the dataprocessing system 102 can determine to keep the overall duration of theoutput to within a predetermine time limit (e.g., 30 seconds). The dataprocessing system 102 can determine that the digital component durationis 25 seconds. The data processing system 102 can then select an audiochime associated with the identifier that is 5 seconds or less. Inanother example, if the duration of the digital component is 28 seconds,the data processing system 102 can select an audio chime for theidentifier that is 2 seconds. In another example, if the duration of thedigital component is 30 seconds, the data processing system 102 canselect an audio chime that is configured for overlay or overlapping withthe digital component (e.g., an instrumental only audio chime instead ofa spoken words audio chime).

The data processing system 102 can determine, based on a characteristicof the audio chime, a configuration to combine the digital componentwith the first audio chime. The configuration can be selected fromconfiguration 130 stored in data repository 124. The configuration caninclude, for example, adding the audio chime before the digitalcomponent, during the digital component, in the middle of the digitalcomponent, after the digital component, or overlapping or overlaying theaudio chime over the digital component.

The data processing system 102 can determine the configuration based ona characteristic of the digital component or the audio chime, or both.For example, the configuration can be to minimize a duration of theoutput, in which case the data processing system 102 can determine tooverlay the audio chime with the digital component. The data processingsystem 102 can determine that an overlay is possible if the audio chimeis instrumental only. However, if the audio chime includes spoken words,the data processing system 102 can determine that an overlay is notpossible. The data processing system 102 can then determine to add theaudio chime after the digital component.

The data processing system 102 can determine the configuration to use tocombine the chime with the digital component so as to improve, manage,or optimize intelligibility. For example, if an instrumental chimecontains audio within a first frequency range, and the digital componentalso contains audio in the first frequency range, then the dataprocessing system 102 can determine to select a configuration in whichthe chime is appended to the digital component before or after thedigital component so as to prevent reducing the intelligibility of thedigital component itself. In another example, if the answer to a queryis a spoken-word, the data processing system 102 can avoid overlayingthe answer with chimes where a component (e.g., a primary component) ofthe chime significantly overlaps the spoken word component. The dataprocessing system 102 can use a Fast Fourier transform (FFT) techniqueand machine learning to determine if there is a collision between thechime and the answer. The data processing system 102 can detect acollision based on a comparison of an amplitude of the audio chime withan amplitude of the audio digital component containing the answer. Thedata processing system 102 can determine that if the difference inamplitude of one or more frequencies or frequency ranges is less than athreshold (e.g., 20 decibels, 15 decibels, 12 decibels, 10 decibels, 8decibels, 5 decibels, or less), then the audio chime may cause the audiodigital component or answer to be unintelligible, thereby resulting in acollision. The frequencies or frequency ranges can correspond to afrequency range of spoken words in the audio digital component or theaudio chime, such as between 300-3000 Hz (or 300-4000 Hz, or 300-5000Hz), for example. The data processing system can determine that anychime can be overlaid on an audio digital component if the chime is atleast a threshold dB softer than the audio digital component or thespoken words of the audio digital component, especially in the frequencyranges where they overlap.

If the data processing system 102 determines that there may be acollision between the audio chime and the answer (e.g., in the spokenword frequency range of 300-3000 Hz of less than 12 dB), then the dataprocessing system 102 can use one or more techniques to avoid thecollision. For example, the data processing system 102 can select adifferent audio chime that is available on the local computing devicethat might also indicate the source of the answer. The data processingsystem 102 can set a configuration to combine the audio chime with theaudio digital component that includes adjusting or manipulating theaudio chime or the audio digital component containing the answer. Forexample, the data processing system 102 can set the configuration toinclude increasing an amplitude or decibel of one or more frequencies ofthe audio digital component or answer, and/or decrease an amplitude ordecibel of one or more frequencies of the audio chime. The dataprocessing system 102 can set the configuration to combine the audiochime with the audio digital component in a non-overlapping manner.

In another example, if an instrumental chime contains audio within afirst frequency range, a spoken words chime contains audio in a secondfrequency range, and the digital component also contains audio in thefirst frequency range, then the data processing system 102 can determineto select the spoken words audio chime since it contains audio in thesecond frequency range that does not overlap (or substantially overlap,such as less than 10% overlap, 20% overlap, 30% overlap, 40% overlap, or50% overlap) with the first frequency range. For example, the dataprocessing system 102 can determine that the intelligible portion of thedigital component contains audio in the frequency range of 1 KHz to 2KHz.

For example, the characteristic of the audio chime can indicate thatspoken words are absent from the audio chime. The data processing system102, based on the indication that spoken words are absent, determine theconfiguration as overlaying the audio chime with at least a portion ofthe digital component. In another example, the characteristic of theaudio chime can indicate that the audio chime includes spoken words. Thedata processing system 102 can determine, responsive to thecharacteristic of the audio chime indicating spoken words, theconfiguration as appending the first audio chime to the digitalcomponent in a non-overlapping manner before or after the digitalcomponent.

The data processing system 102 can determine to add the audio chimebefore or after the digital component based on a topic or keywordassociated with the request or digital component. For example, for anews digital component, the data processing system 102 can determine toprovide the audio chime before the digital component because the sourcemay be of greater importance or relevance to the content of the digitalcomponent. For example, for a food recipe related digital component, thedata processing system 102 can determine to set the configuration toprovide the audio chime after the digital component (e.g., theingredients for the recipe) because the source of information may beless critical.

The data processing system 102 (e.g., via the synthesizer component 118)can generate an action data structure. The action data structure caninclude the digital component provided by the digital component providerdevice 106, an indication of the audio chime selected for the digitalcomponent, and the configuration. The indication of the audio chime caninclude, for example, a pointer, identifier, file name, or otherindication of the audio chime. For example, the action data structurecan include a first field for the digital component, a second field forthe indication of the audio chime to use, and a third field for theconfiguration of the audio chime with the digital component.

The data processing system 102 can transmit, via the network, the actiondata structure to the computing device 104. The data processing system102 can cause the computing device 104 to generate an output audiosignal based on the action data structure. The output audio signal caninclude the digital component received via the digital componentprovider device and the first audio chime retrieved from the local chimedata 142 memory of the computing device 104. Thus, the computing device104 can construct the output signal (e.g., via audio driver 138) andplay the output signal via a speaker such as transducer 136.

The computing device 104 can perform a lookup in local chime data 142 toretrieve the audio chime selected by the data processing system 102. Insome cases, the data processing system 102 can provide an identifier ofthe source, and the computing device 104 can select the correspondingaudio chime from local chime data 142.

The data processing system 102 can select multiple digital componentsresponsive to a single request or single input audio signal For example,the single input audio signal can include multiple queries, such as“What was the weather the day of the baseball championship game lastyear?” The data processing system 102 can select, responsive to therequest, multiple digital components provided by multiple differentdigital component provider devices. Each digital component providerdevice can be associated with their own identifier (e.g., analphanumeric identifier, account identifier, brand name, entity name, ororganization name). The data processing system 102 can identify andselect different audio chimes for each digital component provided byeach digital component provider. The data processing system 102 candetermine, based on characteristics of each of the audio chimes, aconfiguration to combine each of the digital components and each of theaudio chimes. The data processing system 102 can generate an action datastructure with each of the digital components, indications of each ofthe audio chimes, and the configuration.

The configuration can include, for example, adding each audio chimebefore the corresponding digital component. The configuration caninclude adding one audio chime before the first digital component, andadding the second audio chime after the second digital component. Theconfiguration can include overlapping or overlaying one or both audiochimers over one or more both digital components. The data processingsystem 102 can determine the configuration based on a policy used todetermine the configuration for a single digital component. The dataprocessing system 102 can use a multiple digital component policy todetermine the configuration when there are multiple digital componentsand multiple audio chimes. For example, the data processing system 102can use a higher duration limit for the output audio signal for multipledigital components as compared to the duration limit that can be usedfor a single digital component (e.g., 1 minute versus 30 seconds). Basedon the higher duration limit, the data processing system 102 candetermine to add the audio chimes in a non-overlapping manner dependingon the duration of the digital components themselves.

The data processing system 102 can receive multiple requests indifferent input audio signals. The data processing system 102 canreceive requests from multiple computing devices 104 that are associatedor linked with one another, or not associated or not linked with oneanother. For example, the data processing system 102 can receive a firstrequest corresponding to a first client device. The data processingsystem 102 can receive a second request corresponding to a second clientdevice different from the first computing device. The data processingsystem 102 can select the same digital component responsive to the firstrequest and the second request. However, the data processing system 102can determine that a first list of chimes stored in local chime data 142for the first computing device is different from a second list of chimesstored in local chime data 142 for the second computing device. The dataprocessing system 102 can match, based on the policy, the identifier ofthe digital component provider device to a second audio chime of thesecond list of audio chimes stored in the memory of the second clientdevice, where the second audio chime can be different from the firstaudio chime.

Thus, the present technical solution can reduce resource consumption,processor utilization, battery consumption, bandwidth utilization, sizeof an audio file, or amount of time consumed by a speaker. For example,a network or data request can traverse various routes through a complexnetwork infrastructure, thereby increasing the difficulty to determinethe source of the information. Further, it may be challenging for asystem to efficiently transmit information and identify a source of theinformation using the limited available interfaces of a voice-basedcomputing device because certain types of interfaces may consume greatercomputing resources or battery. By selecting an audio chime previouslystored in memory of the client device, the present technical solutioncan reduce resource consumption, processor utilization, batteryconsumption, bandwidth utilization, size of an audio file, or amount oftime consumed by a speaker, while also providing the indication of thesource via the audio chime.

FIG. 2 is an illustration of an operation 200 of the system 100 toprovide network source identification via audio signals. The system caninclude one or more component of system 100 depicted in FIG. 1. In theoperation 200, at 205, the client computing device 104 can transmit datapackets carrying the input audio signal detected by a microphone orother sensor of the computing device 104. The input audio signal caninclude keywords, trigger keywords, or phrases. The computing device 104can transmit the input audio signal 205 responsive to detection of a hotword or action word in a user voice input.

At 210, the data processing system 102 can request a digital componentresponsive to a query or request in the input audios signal 205. Thedata processing system 102 can query one or more digital componentprovider devices 106 to obtain the response or digital component. Thedata processing system 102 can receive the digital component from thedigital component provider device 106.

At 215, the data processing system 102 can identify available audiochimes based on the list of chimes stored in local chime data 142. Thedata processing system 102 may have previously obtained an indication ofthe list of chimes. The data processing system 102 can obtain theindication of the list of chimes stored in local chime data 142 inparallel with searching or selecting the digital component. By determinethe list of available chimes in parallel or in an overlapping manner(instead of serially) with searching for the digital component, the dataprocessing system 102 can reduce latency.

At 220, the data processing system 102 can determine a configuration forthe audio chime with the digital component based on one or morepolicies. For example, the data processing system 102 can determine tooverlay the audio chime over the beginning portion of the digitalcomponent. At 225, the data processing system 102 can generate an actiondata structure with the digital component, indication of the audiochime, and an indication of the configuration. The data processingsystem 102 can transmit the action data structure at 230 to thecomputing device 104, which can play, render, present or otherwiseexecute the action data structure.

FIG. 3 is an illustration of an example method for providing networksource identification via audio signals. The method 300 can be performedby one or more component, system or element of system 100 or system 400.The method 300 can include receiving an input audio signal at 305. Theinput audio signal can be received via an interface of a data processingsystem. The input audio signal can be received via a network. The inputaudio signal can include or be in the form of data packets. The datapackets can include the input audio signal. The input audio signal canbe detected by a microphone of a client computing device.

At 310, the method 300 can include parsing the input audio signal andidentifying the request. The data processing system can use one or moreNLP processing techniques or machine learning techniques to recognize oridentify a query, keyword or other request in the input audio signal. At315, the method 300 can include selecting a digital component. The dataprocessing system can select, responsive to the request, a digitalcomponent provided by a digital component provider device. The digitalcomponent provider device can have an identifier, such as a name,alphanumeric identifier, username, account identifier, or otheridentifier. The digital component provider device can be remote from thedata processing system. The data processing system can select thedigital component using a search index, web crawl, selection process, ora lookup in a database.

At 320, the method 300 can include identifying an audio chime. The dataprocessing system can identify available audio chimes stored in memoryof the client device. Available audio chimes can refer to audio chimesthat are previously downloaded onto the client device. Previously canrefer to before the input signal or request was received by the dataprocessing system. The data processing system can query the clientdevice for the list of audio chimes stored on the device. The dataprocessing system may have previously (e.g., prior to the currentrequest) queried the client device and stored the list of availablechimes in a data repository of the data processing system.

At 325, the method 300 can include matching an identifier to a firstaudio chime. The data processing system can match, based on a policy,the identifier of the digital component provider device to a first audiochime of the plurality of audio chimes stored in the memory of theclient device. The policy can include matching an identifier assigned toan audio chimes with the identifier of the digital component provider.The policy can include selecting a higher ranked audio chimes for thedigital component provider.

At 330, the method 300 can include determining a configuration. The dataprocessing system can determine, based on a characteristic of the firstaudio chime, a configuration to combine the digital component with thefirst audio chime. For example, the data processing system can determineto overlay the audio chime with the digital component if the audio chimeis instrumental only and would not detract or obfuscate the digitalcomponent.

At 335, the method 300 can include generating an action data structure.The data processing system can generate an action data structureincluding the digital component, an indication of the first audio chime,and the configuration. At 340, the method 300 can include transmittingthe action data structure. The data processing system can transmit, viathe network, the action data structure to the client device to cause theclient device to generate an output audio signal based on the actiondata structure. The output audio signal can include the digitalcomponent received via the digital component provider device and thefirst audio chime retrieved from the memory of the client device.

FIG. 4 is a block diagram of an example computer system 400. Thecomputer system or computing device 400 can include or be used toimplement the system 100, or its components such as the data processingsystem 102. The computing system 400 includes a bus 405 or othercommunication component for communicating information and a processor410 or processing circuit coupled to the bus 405 for processinginformation. The computing system 400 can also include one or moreprocessors 410 or processing circuits coupled to the bus for processinginformation. The computing system 400 also includes main memory 415,such as a random access memory (RAM) or other dynamic storage device,coupled to the bus 405 for storing information, and instructions to beexecuted by the processor 410. The main memory 415 can be or include thedata repository 145. The main memory 415 can also be used for storingposition information, temporary variables, or other intermediateinformation during execution of instructions by the processor 410. Thecomputing system 400 may further include a read only memory (ROM) 420 orother static storage device coupled to the bus 405 for storing staticinformation and instructions for the processor 410. A storage device425, such as a solid state device, magnetic disk or optical disk, can becoupled to the bus 405 to persistently store information andinstructions. The storage device 425 can include or be part of the datarepository 124.

The computing system 400 may be coupled via the bus 405 to a display435, such as a liquid crystal display, or active matrix display, fordisplaying information to a user. An input device 430, such as akeyboard including alphanumeric and other keys, may be coupled to thebus 405 for communicating information and command selections to theprocessor 410. The input device 430 can include a touch screen display435. The input device 430 can also include a cursor control, such as amouse, a trackball, or cursor direction keys, for communicatingdirection information and command selections to the processor 410 andfor controlling cursor movement on the display 435. The display 435 canbe part of the data processing system 102, the client computing device104 or other component of FIG. 1, for example.

The processes, systems and methods described herein can be implementedby the computing system 400 in response to the processor 410 executingan arrangement of instructions contained in main memory 415. Suchinstructions can be read into main memory 415 from anothercomputer-readable medium, such as the storage device 425. Execution ofthe arrangement of instructions contained in main memory 415 causes thecomputing system 400 to perform the illustrative processes describedherein. One or more processors in a multi-processing arrangement mayalso be employed to execute the instructions contained in main memory415. Hard-wired circuitry can be used in place of or in combination withsoftware instructions together with the systems and methods describedherein. Systems and methods described herein are not limited to anyspecific combination of hardware circuitry and software.

Although an example computing system has been described in FIG. 4, thesubject matter including the operations described in this specificationcan be implemented in other types of digital electronic circuitry, or incomputer software, firmware, or hardware, including the structuresdisclosed in this specification and their structural equivalents, or incombinations of one or more of them.

For situations in which the systems discussed herein collect personalinformation about users, or may make use of personal information, theusers may be provided with an opportunity to control whether programs orfeatures that may collect personal information (e.g., information abouta user's social network, social actions or activities, a user'spreferences, or a user's location), or to control whether or how toreceive content from a content server or other data processing systemthat may be more relevant to the user. In addition, certain data may beanonymized in one or more ways before it is stored or used, so thatpersonally identifiable information is removed when generatingparameters. For example, a user's identity may be anonymized so that nopersonally identifiable information can be determined for the user, or auser's geographic location may be generalized where location informationis obtained (such as to a city, postal code, or state level), so that aparticular location of a user cannot be determined. Thus, the user mayhave control over how information is collected about him or her and usedby the content server.

The subject matter and the operations described in this specificationcan be implemented in digital electronic circuitry, or in computersoftware, firmware, or hardware, including the structures disclosed inthis specification and their structural equivalents, or in combinationsof one or more of them. The subject matter described in thisspecification can be implemented as one or more computer programs, e.g.,one or more circuits of computer program instructions, encoded on one ormore computer storage media for execution by, or to control theoperation of, data processing apparatuses. Alternatively or in addition,the program instructions can be encoded on an artificially generatedpropagated signal, e.g., a machine-generated electrical, optical, orelectromagnetic signal that is generated to encode information fortransmission to suitable receiver apparatus for execution by a dataprocessing apparatus. A computer storage medium can be, or be includedin, a computer-readable storage device, a computer-readable storagesubstrate, a random or serial access memory array or device, or acombination of one or more of them. While a computer storage medium isnot a propagated signal, a computer storage medium can be a source ordestination of computer program instructions encoded in an artificiallygenerated propagated signal. The computer storage medium can also be, orbe included in, one or more separate components or media (e.g., multipleCDs, disks, or other storage devices). The operations described in thisspecification can be implemented as operations performed by a dataprocessing apparatus on data stored on one or more computer-readablestorage devices or received from other sources.

The terms “data processing system” “computing device” “component” or“data processing apparatus” encompass various apparatuses, devices, andmachines for processing data, including by way of example a programmableprocessor, a computer, a system on a chip, or multiple ones, orcombinations of the foregoing. The apparatus can include special purposelogic circuitry, e.g., an FPGA (field programmable gate array) or anASIC (application specific integrated circuit). The apparatus can alsoinclude, in addition to hardware, code that creates an executionenvironment for the computer program in question, e.g., code thatconstitutes processor firmware, a protocol stack, a database managementsystem, an operating system, a cross-platform runtime environment, avirtual machine, or a combination of one or more of them. The apparatusand execution environment can realize various different computing modelinfrastructures, such as web services, distributed computing and gridcomputing infrastructures. The digital component selector component 114,chime generator component 116, synthesizer component 118 or NLPcomponent 112 and other data processing system 102 components caninclude or share one or more data processing apparatuses, systems,computing devices, or processors.

A computer program (also known as a program, software, softwareapplication, app, script, or code) can be written in any form ofprogramming language, including compiled or interpreted languages,declarative or procedural languages, and can be deployed in any form,including as a stand-alone program or as a module, component,subroutine, object, or other unit suitable for use in a computingenvironment. A computer program can correspond to a file in a filesystem. A computer program can be stored in a portion of a file thatholds other programs or data (e.g., one or more scripts stored in amarkup language document), in a single file dedicated to the program inquestion, or in multiple coordinated files (e.g., files that store oneor more modules, sub programs, or portions of code). A computer programcan be deployed to be executed on one computer or on multiple computersthat are located at one site or distributed across multiple sites andinterconnected by a communication network.

The processes and logic flows described in this specification can beperformed by one or more programmable processors executing one or morecomputer programs (e.g., components of the data processing system 102)to perform actions by operating on input data and generating output. Theprocesses and logic flows can also be performed by, and apparatuses canalso be implemented as, special purpose logic circuitry, e.g., an FPGA(field programmable gate array) or an ASIC (application specificintegrated circuit). Devices suitable for storing computer programinstructions and data include all forms of non-volatile memory, mediaand memory devices, including by way of example semiconductor memorydevices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks,e.g., internal hard disks or removable disks; magneto optical disks; andCD ROM and DVD-ROM disks. The processor and the memory can besupplemented by, or incorporated in, special purpose logic circuitry.

The subject matter described herein can be implemented in a computingsystem that includes a back end component, e.g., as a data server, orthat includes a middleware component, e.g., an application server, orthat includes a front end component, e.g., a client computer having agraphical user interface or a web browser through which a user caninteract with an implementation of the subject matter described in thisspecification, or a combination of one or more such back end,middleware, or front end components. The components of the system can beinterconnected by any form or medium of digital data communication,e.g., a communication network. Examples of communication networksinclude a local area network (“LAN”) and a wide area network (“WAN”), aninter-network (e.g., the Internet), and peer-to-peer networks (e.g., adhoc peer-to-peer networks).

The computing system such as system 100 or system 400 can includeclients and servers. A client and server are generally remote from eachother and typically interact through a communication network (e.g., thenetwork 165). The relationship of client and server arises by virtue ofcomputer programs running on the respective computers and having aclient-server relationship to each other. In some implementations, aserver transmits data (e.g., data packets representing a digitalcomponent) to a client device (e.g., for purposes of displaying data toand receiving user input from a user interacting with the clientdevice). Data generated at the client device (e.g., a result of the userinteraction) can be received from the client device at the server (e.g.,received by the data processing system 102 from the computing device 104or the digital component provider device 106).

While operations are depicted in the drawings in a particular order,such operations are not required to be performed in the particular ordershown or in sequential order, and all illustrated operations are notrequired to be performed. Actions described herein can be performed in adifferent order.

The separation of various system components does not require separationin all implementations, and the described program components can beincluded in a single hardware or software product. For example, the NLPcomponent 112 or the digital component selector component 114, can be asingle component, app, or program, or a logic device having one or moreprocessing circuits, or part of one or more servers of the dataprocessing system 102.

Having now described some illustrative implementations, it is apparentthat the foregoing is illustrative and not limiting, having beenpresented by way of example. In particular, although many of theexamples presented herein involve specific combinations of method actsor system elements, those acts and those elements may be combined inother ways to accomplish the same objectives. Acts, elements andfeatures discussed in connection with one implementation are notintended to be excluded from a similar role in other implementations orimplementations.

The phraseology and terminology used herein is for the purpose ofdescription and should not be regarded as limiting. The use of“including” “comprising” “having” “containing” “involving”“characterized by” “characterized in that” and variations thereofherein, is meant to encompass the items listed thereafter, equivalentsthereof, and additional items, as well as alternate implementationsconsisting of the items listed thereafter exclusively. In oneimplementation, the systems and methods described herein consist of one,each combination of more than one, or all of the described elements,acts, or components.

Any references to implementations or elements or acts of the systems andmethods herein referred to in the singular may also embraceimplementations including a plurality of these elements, and anyreferences in plural to any implementation or element or act herein mayalso embrace implementations including only a single element. Referencesin the singular or plural form are not intended to limit the presentlydisclosed systems or methods, their components, acts, or elements tosingle or plural configurations. References to any act or element beingbased on any information, act or element may include implementationswhere the act or element is based at least in part on any information,act, or element.

Any implementation disclosed herein may be combined with any otherimplementation or embodiment, and references to “an implementation,”“some implementations,” “one implementation” or the like are notnecessarily mutually exclusive and are intended to indicate that aparticular feature, structure, or characteristic described in connectionwith the implementation may be included in at least one implementationor embodiment. Such terms as used herein are not necessarily allreferring to the same implementation. Any implementation may be combinedwith any other implementation, inclusively or exclusively, in any mannerconsistent with the aspects and implementations disclosed herein.

References to “or” may be construed as inclusive so that any termsdescribed using “or” may indicate any of a single, more than one, andall of the described terms. For example, a reference to “at least one of‘A’ and ‘B’” can include only ‘A’, only ‘B’, as well as both ‘A’ and‘B’. Such references used in conjunction with “comprising” or other openterminology can include additional items.

Where technical features in the drawings, detailed description or anyclaim are followed by reference signs, the reference signs have beenincluded to increase the intelligibility of the drawings, detaileddescription, and claims. Accordingly, neither the reference signs northeir absence have any limiting effect on the scope of any claimelements.

The systems and methods described herein may be embodied in otherspecific forms without departing from the characteristics thereof. Theforegoing implementations are illustrative rather than limiting of thedescribed systems and methods. Scope of the systems and methodsdescribed herein is thus indicated by the appended claims, rather thanthe foregoing description, and changes that come within the meaning andrange of equivalency of the claims are embraced therein.

1. A system to mix audio signals, comprising: a data processing systemcomprising one or more processors and memory; a natural languageprocessor component of the data processing system to receive, via aninterface of the data processing system and a network, data packetscomprising an input audio signal detected by a sensor of a clientdevice; the natural language processor component to parse the inputaudio signal to identify a request; a digital component selectorcomponent of the data processing system to: receive the requestidentified by the natural language processor; select, responsive to therequest, a digital component provided by a digital component providerdevice, the digital component provider device having an identifier; anda synthesizer component of the data processing system to: identify aplurality of audio chimes stored in memory of the client device; match,based on a policy, the identifier of the digital component providerdevice to a first audio chime of the plurality of audio chimes stored inthe memory of the client device; determine, based on a characteristic ofthe first audio chime, a configuration to combine the digital componentwith the first audio chime; generate an action data structure comprisingthe digital component, an indication of the first audio chime, and theconfiguration; and transmit, via the network, the action data structureto the client device to cause the client device to generate an outputaudio signal based on the action data structure, the output audio signalcomprising the digital component received via the digital componentprovider device and the first audio chime retrieved from the memory ofthe client device.
 2. The system of claim 1, comprising the dataprocessing system to: identify, prior to receipt of the input audiosignal detected by the sensor of the client device, one or more audiochimes of the plurality of audio chimes; and transmit the one or moreaudio chimes of the plurality of audio chimes to the client device forstorage in the memory of the client device.
 3. The system of claim 1,comprising the data processing system to: request, prior to receipt ofthe input audio signal detected by the sensor of the client device, alist of audio chimes stored in memory of the client device; and receive,responsive to the request, the list of chimes comprising anidentification of the plurality of audio chimes stored in memory of theclient device.
 4. The system of claim 1, comprising the data processingsystem to: determine, based on a plurality of historical requestsreceived from the client device, a plurality of digital componentprovider devices associated with digital components responsive to theplurality of historical requests; identify a second plurality of chimescorresponding to the plurality of digital component provider devices;and transmit the second plurality of chimes to the client device forstorage in the memory.
 5. The system of claim 1, comprising the dataprocessing system to: receive, from the digital component providerdevice, a request to register audio chimes; approve, based on a dataquality score of the digital component provider device, the request toregister audio chimes for the digital component provider device;receive, from the digital component provider device, the first chime;and transmit, prior to receipt of the input audio signal detected by thesensor of the client device, the first audio chime to the client devicefor storage in the memory of the client device.
 6. The system of claim1, comprising the data processing system to: parse a plurality ofwebsites associated with digital component provider devices; identify,from the plurality of websites, a second plurality of audio chimes;filter, based on a memory reduction policy, the second plurality ofaudio chimes to remove one or more audio chimes from the secondplurality of audio chimes to establish the plurality of audio chimes;and transmit, to the client device, the plurality of audio chimes forstorage in the memory of the client device.
 7. The system of claim 1,comprising the data processing system to: access a website associatedwith the digital component provider device; identify, via the website, asecond plurality of audio chimes; rank, based on a machine learningtechnique, the second plurality of audio chimes to assign the firstaudio chime a higher rank relative to a second audio chime of the secondplurality of audio chimes; and transmit, to the client device responsiveto the rank, the first audio chime for storage in the memory of theclient device.
 8. The system of claim 1, comprising the data processingsystem to: access a website associated with the digital componentprovider device; identify, via the website, a second plurality of audiochimes comprising the first audio chime and a second audio chime;determine that the first audio chime comprises spoken words; determinethat the second audio chime is absent spoken words; assign, based on thefirst audio chime comprising spoken words and the second audio chimeabsent spoken words, the first audio chime a higher rank relative to thesecond audio chime; and transmit, to the client device responsive to theassignment, the first audio chime for storage in the memory of theclient device.
 9. The system of claim 1, wherein the characteristic ofthe first audio chime indicates that spoken words are absent from thefirst audio chime, comprising the data processing system to: determine,responsive to the characteristic of the first audio chime, theconfiguration comprising overlaying the first audio chime with at leasta portion of the digital component.
 10. The system of claim 1, whereinthe characteristic of the first audio chime indicates that the firstaudio chime includes spoken words, comprising the data processing systemto: determine, responsive to the characteristic of the first audiochime, the configuration comprising appending the first audio chime tothe digital component in a non-overlapping manner before or after thedigital component.
 11. The system of claim 1, comprising the dataprocessing system to: select, responsive to the request, a seconddigital component provided by a second digital component provider devicehaving a second identifier; identify a second chime corresponding to thesecond digital component provider device; determine, based on thecharacteristic of the first audio chime and a characteristic of thesecond audio chime, a second configuration to combine the digitalcomponent and the second digital component with the first audio chimeand the second audio chime; generate the action data structurecomprising the digital component, the second digital component, theindication of the first audio chime, an indication of the second audiochime, and the second configuration.
 12. The system of claim 1,comprising the data processing system to: receive a second requestcorresponding to a second client device; select, responsive to thesecond request, the digital component provided by the digital componentprovider device; identify a second plurality of audio chimes stored inmemory of the second client device; and match, based on the policy, theidentifier of the digital component provider device to a second audiochime of the second plurality of audio chimes stored in the memory ofthe second client device, the second audio chime different from thefirst audio chime.
 13. A method of mixing audio signals, comprising:receiving, via an interface of a data processing system and a network,data packets comprising an input audio signal detected by a sensor of aclient device; parsing, by the data processing system, the input audiosignal to identify a request; selecting, by the data processing systemresponsive to the request, a digital component provided by a digitalcomponent provider device, the digital component provider device havingan identifier; identifying, by the data processing system, a pluralityof audio chimes stored in memory of the client device; matching, by thedata processing system based on a policy, the identifier of the digitalcomponent provider device to a first audio chime of the plurality ofaudio chimes stored in the memory of the client device; determining, bythe data processing system based on a characteristic of the first audiochime, a configuration to combine the digital component with the firstaudio chime; generating, by the data processing system, an action datastructure comprising the digital component, an indication of the firstaudio chime, and the configuration; and transmitting, by the dataprocessing system via the network, the action data structure to theclient device to cause the client device to generate an output audiosignal based on the action data structure, the output audio signalcomprising the digital component received via the digital componentprovider device and the first audio chime retrieved from the memory ofthe client device.
 14. The method of claim 13, comprising: identifying,by the data processing system prior to receipt of the input audio signaldetected by the sensor of the client device, one or more audio chimes ofthe plurality of audio chimes; and transmitting, by the data processingsystem, the one or more audio chimes of the plurality of audio chimes tothe client device for storage in the memory of the client device. 15.The method of claim 13, comprising: requesting, by the data processingsystem prior to receipt of the input audio signal detected by the sensorof the client device, a list of audio chimes stored in memory of theclient device; and receiving, by the data processing system responsiveto the request, the list of chimes comprising an identification of theplurality of audio chimes stored in memory of the client device.
 16. Themethod of claim 13, comprising: determining, by the data processingsystem based on a plurality of historical requests received from theclient device, a plurality of digital component provider devicesassociated with digital components responsive to the plurality ofhistorical requests; identifying, by the data processing system, asecond plurality of chimes corresponding to the plurality of digitalcomponent provider devices; and transmitting, by the data processingsystem, the second plurality of chimes to the client device for storagein the memory.
 17. The method of claim 13, comprising: receiving, by thedata processing system, from the digital component provider device, arequest to register audio chimes; approving, by the data processingsystem, based on a data quality score of the digital component providerdevice, the request to register audio chimes for the digital componentprovider device; receiving, by the data processing system from thedigital component provider device, the first chime; and transmitting, bythe data processing system prior to receipt of the input audio signaldetected by the sensor of the client device, the first audio chime tothe client device for storage in the memory of the client device. 18.The method of claim 13, comprising: parsing, by the data processingsystem, a plurality of websites associated with digital componentprovider devices; identifying, by the data processing system, from theplurality of websites, a second plurality of audio chimes; filtering, bythe data processing system based on a memory reduction policy, thesecond plurality of audio chimes to remove one or more audio chimes fromthe second plurality of audio chimes to establish the plurality of audiochimes; and transmitting, by the data processing system to the clientdevice, the plurality of audio chimes for storage in the memory of theclient device.
 19. The method of claim 13, comprising: accessing, by thedata processing system, a website associated with digital componentprovider device; identifying, by the data processing system via thewebsite, a second plurality of audio chimes; ranking, by the dataprocessing system based on a machine learning technique, the secondplurality of audio chimes to assign the first audio chime a higher rankrelative to a second audio chime of the second plurality of audiochimes; and transmitting, by the data processing system to the clientdevice responsive to the rank, the first audio chime for storage in thememory of the client device.
 20. The method of claim 13, comprising:accessing, by the data processing system, a website associated withdigital component provider device; identifying, by the data processingsystem, via the website, a second plurality of audio chimes comprisingthe first audio chime and a second audio chime; determining, by the dataprocessing system, that the first audio chime comprises spoken words;determining, by the data processing system, that the second audio chimeis absent spoken words; assigning, by the data processing system, basedon the first audio chime comprising spoken words and the second audiochime absent spoken words, the first audio chime a higher rank relativeto the second audio chime; and transmitting, by the data processingsystem, to the client device responsive to the assignment, the firstaudio chime for storage in the memory of the client device.